Lin Lin

Orcid: 0000-0001-6860-9566

Affiliations:
  • University of California, Berkeley, Department of Mathematics, CA, USA
  • Lawrence Berkeley National Laboratory, CA, USA
  • Princeton University, NJ, USA (former)


According to our database1, Lin Lin authored at least 79 papers between 2011 and 2024.

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Bibliography

2024
Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices.
SIAM J. Matrix Anal. Appl., March, 2024

Finite-size effects in periodic coupled cluster calculations.
J. Comput. Phys., March, 2024

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions.
CoRR, 2024

2023
Time-marching based quantum solvers for time-dependent linear differential equations.
Quantum, March, 2023

Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation.
J. Comput. Phys., February, 2023

Efficient long-range convolutions for point clouds.
J. Comput. Phys., 2023

Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters.
CoRR, 2023

Dense outputs from quantum simulations.
CoRR, 2023

Robust iterative method for symmetric quantum signal processing in all parameter regimes.
CoRR, 2023

Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost.
CoRR, 2023

2022
A Theory of Quantum Subspace Diagonalization.
SIAM J. Matrix Anal. Appl., September, 2022

On the energy landscape of symmetric quantum signal processing.
Quantum, September, 2022

Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation.
Quantum, 2022

Towards sharp error analysis of extended Lagrangian molecular dynamics.
J. Comput. Phys., 2022

Parallel transport dynamics for mixed quantum states with applications to time-dependent density functional theory.
J. Comput. Phys., 2022

KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set.
Comput. Phys. Commun., 2022

Time-marching based quantum solvers for time-dependent linear differential equations.
CoRR, 2022

Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices.
CoRR, 2022

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrice.
CoRR, 2022

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits.
Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021
Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions.
SIAM J. Sci. Comput., 2021

Time-dependent unbounded Hamiltonian simulation with vector norm scaling.
Quantum, 2021

Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks.
J. Comput. Phys., 2021

Convergence of stochastic-extended Lagrangian molecular dynamics method for polarizable force field simulation.
J. Comput. Phys., 2021

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with <i>ab initio</i> accuracy.
Comput. Phys. Commun., 2021

Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics.
CoRR, 2021

Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020
Spare Aeroengine Demand Prediction Model Based on Deep Croston Method.
J. Aerosp. Inf. Syst., February, 2020

Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization.
SIAM J. Sci. Comput., 2020

Near-optimal ground state preparation.
Quantum, 2020

Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems.
Quantum, 2020

Quantum Dynamics with the Parallel Transport Gauge.
Multiscale Model. Simul., 2020

Mesh independence of the generalized Davidson algorithm.
J. Comput. Phys., 2020

ELSI - An open infrastructure for electronic structure solvers.
Comput. Phys. Commun., 2020

Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving.
CoRR, 2020

Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions.
CoRR, 2020

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy.
CoRR, 2020

Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack.
CoRR, 2020

Split representation of adaptively compressed polarizability operator.
CoRR, 2020

Pushing the limit of molecular dynamics with <i>ab initio</i> accuracy to 100 million atoms with machine learning.
Proceedings of the International Conference for High Performance Computing, 2020

Policy Gradient based Quantum Approximate Optimization Algorithm.
Proceedings of Mathematical and Scientific Machine Learning, 2020

2019
Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints.
SIAM J. Sci. Comput., 2019

Projection-Based Embedding Theory for Solving Kohn-Sham Density Functional Theory.
Multiscale Model. Simul., 2019

Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators.
Multiscale Model. Simul., 2019

A Multiscale Neural Network Based on Hierarchical Matrices.
Multiscale Model. Simul., 2019

Variational Formulation for Wannier Functions with Entangled Band Structure.
Multiscale Model. Simul., 2019

Fast real-time time-dependent hybrid functional calculations with the parallel transport gauge and the adaptively compressed exchange formulation.
Comput. Phys. Commun., 2019

Universal approximation of symmetric and anti-symmetric functions.
CoRR, 2019

Solving quantum linear system problem with near-optimal complexity.
CoRR, 2019

Variational embedding for quantum many-body problems.
CoRR, 2019

Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm.
CoRR, 2019

Numerical methods for Kohn-Sham density functional theory.
Acta Numer., 2019

Parallel transport time-dependent density functional theory calculations with hybrid functional on summit.
Proceedings of the International Conference for High Performance Computing, 2019

2018
A Structure Preserving Lanczos Algorithm for Computing the Optical Absorption Spectrum.
SIAM J. Matrix Anal. Appl., 2018

PSelInv - A distributed memory parallel algorithm for selected inversion: The non-symmetric case.
Parallel Comput., 2018

Disentanglement via Entanglement: A Unified Method for Wannier Localization.
Multiscale Model. Simul., 2018

ELSI: A unified software interface for Kohn-Sham electronic structure solvers.
Comput. Phys. Commun., 2018

Accelerating Optical Absorption Spectra and Exciton Energy Computation via Interpolative Separable Density Fitting.
Proceedings of the Computational Science - ICCS 2018, 2018

A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2018

2017
PSelInv - A Distributed Memory Parallel Algorithm for Selected Inversion: The Symmetric Case.
ACM Trans. Math. Softw., 2017

Computing Localized Representations of the Kohn-Sham Subspace Via Randomization and Refinement.
SIAM J. Sci. Comput., 2017

Localized spectrum slicing.
Math. Comput., 2017

Adaptively Compressed Polarizability Operator for Accelerating Large Scale <i>Ab Initio</i> Phonon Calculations.
Multiscale Model. Simul., 2017

Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework II: Force, vibration, and molecular dynamics calculations.
J. Comput. Phys., 2017

SCDM-k: Localized orbitals for solids via selected columns of the density matrix.
J. Comput. Phys., 2017

2016
Approximating Spectral Densities of Large Matrices.
SIAM Rev., 2016

Enhancing Scalability and Load Balancing of Parallel Selected Inversion via Tree-Based Asynchronous Communication.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015
Numerical integration for ab initio many-electron self energy calculations within the GW approximation.
J. Comput. Phys., 2015

Enhancing the scalability and load balancing of the parallel selected inversion algorithm via tree-based asynchronous communication.
CoRR, 2015

2014
Pole Expansion for Solving a Type of Parametrized Linear Systems in Electronic Structure Calculations.
SIAM J. Sci. Comput., 2014

Parallel eigenvalue calculation based on multiple shift-invert Lanczos and contour integral based spectral projection method.
Parallel Comput., 2014

Analysis of Time Reversible Born-Oppenheimer Molecular Dynamics.
Entropy, 2014

2013
Elliptic Preconditioner for Accelerating the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.
SIAM J. Sci. Comput., 2013

Efficient iterative method for solving the Dirac-Kohn-Sham density functional theory.
J. Comput. Phys., 2013

2012
Optimized local basis set for Kohn-Sham density functional theory.
J. Comput. Phys., 2012

Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation.
J. Comput. Phys., 2012

2011
SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix.
ACM Trans. Math. Softw., 2011

A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations.
SIAM J. Sci. Comput., 2011

Fast construction of hierarchical matrix representation from matrix-vector multiplication.
J. Comput. Phys., 2011


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